Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.9 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Tchalykh
4
56 kgArmstrong
7
58 kgArndt
10
59 kgSoeder
13
52 kgMatusiak
14
58 kgSandig
16
62 kgLindberg
18
63 kgRossner
22
64 kgBecker
24
64 kgHeeb
29
51 kgBoyarskaya
31
67 kgValsecchi
33
58 kgVžesniauskaitė
44
57 kgBrzeźna
46
56 kgCantele
58
58 kgCorneo
67
54 kgAndersen
91
68 kg
4
56 kgArmstrong
7
58 kgArndt
10
59 kgSoeder
13
52 kgMatusiak
14
58 kgSandig
16
62 kgLindberg
18
63 kgRossner
22
64 kgBecker
24
64 kgHeeb
29
51 kgBoyarskaya
31
67 kgValsecchi
33
58 kgVžesniauskaitė
44
57 kgBrzeźna
46
56 kgCantele
58
58 kgCorneo
67
54 kgAndersen
91
68 kg
Weight (KG) →
Result →
68
51
4
91
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | TCHALYKH Elena | 56 |
| 7 | ARMSTRONG Kristin | 58 |
| 10 | ARNDT Judith | 59 |
| 13 | SOEDER Christiane | 52 |
| 14 | MATUSIAK Bogumiła | 58 |
| 16 | SANDIG Madeleine | 62 |
| 18 | LINDBERG Madeleine | 63 |
| 22 | ROSSNER Petra | 64 |
| 24 | BECKER Charlotte | 64 |
| 29 | HEEB Barbara | 51 |
| 31 | BOYARSKAYA Natalia | 67 |
| 33 | VALSECCHI Silvia | 58 |
| 44 | VŽESNIAUSKAITĖ Modesta | 57 |
| 46 | BRZEŹNA Paulina | 56 |
| 58 | CANTELE Noemi | 58 |
| 67 | CORNEO Sigrid | 54 |
| 91 | ANDERSEN Mette | 68 |